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3001
Study of Rutile TiO2 band structures and optical properties using Density functional theory (DFT)
Published 2021-07-01Get full text
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3002
The Relationship between Personality Structures and Moral Development: Mediating Role of Mind Reading in the Students of Farhangian University of Kerman
Published 2024-03-01“…Objective: The present investigation was conducted with the objective of exploring the relationship between personality structures, as conceptualized by the neo-approach, and moral development, taking into consideration the mediating role of mind reading. …”
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Depressive and Negative Symptoms in the Early and Established Stages of Schizophrenia: Integrating Structural Brain Alterations, Cognitive Performance, and Plasma Interleukin 6 Lev...
Published 2025-03-01“…Methods: We evaluated whether higher plasma interleukin 6 (IL-6) levels would be associated with more severe negative or depressive symptoms in schizophrenia and explored illness stage utilizing early (BeneMin [Benefit of Minocycline on Negative Symptoms of Psychosis: Extent and Mechanism], n = 201, 72.8% male) and established (iRELATE [Immune Response & Social Cognition in Schizophrenia], n = 94, 67.3% male) schizophrenia cohorts. Using structural equation modeling in a subsample (iRELATE: n = 42, 69.0% male; BeneMin: n = 102, 76.5% male) with data on structural brain metrics (cortical thickness and volume), general cognitive performance, and plasma IL-6 levels, we assessed the interrelationships between these variables on depressive and negative symptom severity in early and established schizophrenia samples combined and in early schizophrenia only. …”
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3005
Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing
Published 2025-04-01“…Abstract Reactor pressure vessel (RPV) steels are critical for maintaining the structural integrity and safety of nuclear reactors, designed to endure extreme conditions over prolonged operational lifetimes. …”
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3007
Advancing plant metabolic research by using large language models to expand databases and extract labeled data
Published 2025-07-01Subjects: Get full text
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3008
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3009
Crashworthiness performance of the designed concave hexagonal structures as filler element in cylindrical shells in multiple load cases
Published 2023-07-01“…The greater the energy absorption by the crash safety structure, the greater the safety in preventing deformation of the main structure due to impact. …”
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Reliability parameters calculation of restorable objects with regard to inaccuracies in the initial data
Published 2018-12-01“…The method of reliability parameters calculation of objects with regard to inaccuracies of source data is provided. In this case, only restorable objects are considered, the reliability of which is ensured by structural redundancy with limited multiplicity. …”
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Analysis of domain structure parameters of RFe11Ti (R = Y, Gd, Ho, Er) single crystals based on magnetic force microscopy data
Published 2024-12-01“…The results of an experimental study of the magnetic domain structure on the basal plane of RFe11Ti single crystals (R=Y, Gd, Ho, Er) by magnetic force microscopy are presented. …”
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Reconstruction of Typhoon Structure Using 3-Dimensional Doppler Radar Radial Velocity Data with the Multigrid Analysis: A Case Study in an Idealized Simulation Context
Published 2016-01-01“…These data are used to reconstruct the synthetic 3D “typhoon” structure by the STMAS and the traditional 3D variational (3D-Var) analysis. …”
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3016
Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning
Published 2025-01-01“…Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of sampling–model structure combination on it, which may prevent full utilization of input data, especially for synthetic aperture radar images with fewer crop prior features. …”
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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization
Published 2025-05-01“…This paper presents opstool, a Python package designed to enhance the pre- and post-processing capabilities of OpenSees and OpenSeesPy. It simplifies structural analysis workflows by automating tasks such as mesh generation, data management, and data visualization. …”
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